Advanced AI Innovation Leader

23 hours ago

Bareilly, Uttar Pradesh, India beBeeMachine Full time ₹ 1,98,00,000 - ₹ 2,52,60,000
Senior Machine Learning Engineer

We are seeking a highly skilled Senior Machine Learning Engineer to lead the development and deployment of cutting-edge AI/ML systems. The ideal candidate will have expertise in building scalable ML infrastructure, deploying models in production, and staying at the forefront of AI innovation.

Key Responsibilities:

  • Design, develop, and optimize end-to-end ML models using LLMs, transformer architectures, and custom RAG frameworks.
  • Fine-tune and evaluate generative and NLP models for business-specific applications such as conversational flows, auto-replies, and intelligent routing.
  • Lead prompt engineering and build autonomous AI agents capable of executing multi-step reasoning.

Infrastructure, Deployment & MLOps:

  • Architect and automate scalable training, validation, and deployment pipelines using tools like MLflow, SageMaker, or Vertex AI.
  • Integrate ML models with APIs, databases (vector/graph), and production services ensuring performance, reliability, and traceability.
  • Monitor model performance in real-time, and implement A/B testing, drift detection, and re-training pipelines.

Data & Feature Engineering:

  • Work with structured, unstructured, and semi-structured data (text, embeddings, chat history).
  • Build and manage vector databases (e.g., Pinecone, Weaviate) and graph-based retrieval systems.
  • Ensure high-quality data ingestion, feature pipelines, and scalable pre-processing workflows.

Team Collaboration & Technical Leadership:

  • Collaborate with product managers, software engineers, and stakeholders to align AI roadmaps with product goals.
  • Mentor junior engineers and establish best practices in experimentation, reproducibility, and deployment.
  • Stay updated on the latest in AI/ML (LLMs, diffusion models, multi-modal learning), and drive innovation in applied use cases.

Required Skills and Qualifications:

  • Bachelor's/Master's degree in Computer Science, Engineering, AI/ML, or a related field from a Tier 1 institution.
  • 2+ years of experience building and deploying machine learning models in production.
  • Expertise in Python and known the frameworks like TensorFlow, PyTorch, Hugging Face, Scikit-learn.
  • Hands-on experience with transformer models, LLMs, LangChain, LangGraph, OpenAI API, or similar.
  • Deep knowledge of machine learning algorithms, model evaluation, hyperparameter tuning, and optimization.
  • Experience working with cloud platforms (AWS, GCP, or Azure) and ML Ops tools (MLflow, Airflow, Kubernetes).
  • Strong understanding of SQL, data engineering concepts, and working with large-scale datasets.

Benefits:

  • High ownership, fast iterations, and impact-focused work.
  • Build AI that directly powers growth for 100,000+ businesses.
  • Work on cutting-edge technologies like LLMs, RAG, and AI agents in real production environments.

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